A refined Hilbert-Huang transform with applications to interarea oscillation monitoring
A refined Hilbert-Huang transform with applications to interarea oscillation monitoring
This paper focuses on the refinement of standard Hilbert–Huang transform (HHT) technique to accurately characterize time varying, multicomponents interarea oscillations. Several improved masking techniques for empirical mode decomposition(EMD) and a local Hilbert transformer are proposed and a number of issues regarding their use and interpretation are identified. Simulated response data from a complex power system model are used to assess the efficacy of the proposed techniques for capturing the temporal evolution of critical system modes. It is shown that the combination of the proposed methods result in superior frequency and temporal resolution than other approaches for analyzing complicated nonstationary oscillations.
convolution filter, hilbert–huang transform, empirical mode decomposition, interarea oscillation, masking
610-620
Laila, Dina Shona
41aa5cf9-3ec2-4fdf-970d-a0a349bfd90c
Messina, Arturo Roman
e976a6b4-9414-4ccb-bf77-36ee87760627
Pal, Bikash Chandra
3a9349b4-c9e5-4740-8564-92350e677ebe
10 April 2009
Laila, Dina Shona
41aa5cf9-3ec2-4fdf-970d-a0a349bfd90c
Messina, Arturo Roman
e976a6b4-9414-4ccb-bf77-36ee87760627
Pal, Bikash Chandra
3a9349b4-c9e5-4740-8564-92350e677ebe
Laila, Dina Shona, Messina, Arturo Roman and Pal, Bikash Chandra
(2009)
A refined Hilbert-Huang transform with applications to interarea oscillation monitoring.
IEEE Transactions on Power Systems, 24 (2), .
(doi:10.1109/TPWRS.2009.2016478).
Abstract
This paper focuses on the refinement of standard Hilbert–Huang transform (HHT) technique to accurately characterize time varying, multicomponents interarea oscillations. Several improved masking techniques for empirical mode decomposition(EMD) and a local Hilbert transformer are proposed and a number of issues regarding their use and interpretation are identified. Simulated response data from a complex power system model are used to assess the efficacy of the proposed techniques for capturing the temporal evolution of critical system modes. It is shown that the combination of the proposed methods result in superior frequency and temporal resolution than other approaches for analyzing complicated nonstationary oscillations.
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e-pub ahead of print date: 10 April 2009
Published date: 10 April 2009
Keywords:
convolution filter, hilbert–huang transform, empirical mode decomposition, interarea oscillation, masking
Organisations:
Mechatronics
Identifiers
Local EPrints ID: 199517
URI: http://eprints.soton.ac.uk/id/eprint/199517
ISSN: 0885-8950
PURE UUID: 176c9018-46a1-4d2b-a653-17fe184c912a
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Date deposited: 18 Oct 2011 13:30
Last modified: 14 Mar 2024 04:16
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Contributors
Author:
Dina Shona Laila
Author:
Arturo Roman Messina
Author:
Bikash Chandra Pal
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